Triple
T9032374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zunheboto |
E216401
|
entity |
| Predicate | hasLocalGovernance |
P57402
|
FINISHED |
| Object | town-level administration |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: town-level administration | Statement: [Zunheboto, hasLocalGovernance, town-level administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalGovernance Context triple: [Zunheboto, hasLocalGovernance, town-level administration]
-
A.
hasLocalGovernanceType
chosen
Indicates the specific form or system of local governance that applies to an entity.
-
B.
hasLocalGovernanceRole
Indicates that an entity holds an official position or responsibility within a local or municipal governing body.
-
C.
hasLocalGovernmentBody
Indicates that an entity is administered or overseen by a specific local government authority or governing body.
-
D.
hasLocalGovernmentJurisdictionOver
Indicates that one governmental body possesses official authority to administer, regulate, and make binding decisions over a specific geographic area or population.
-
E.
hasLocalGovernmentCommunity
Indicates that one entity possesses or is associated with a community-level local government authority responsible for administering that area.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6aa0c89c81909792190f08fef8df |
completed | April 1, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee3597c81908919cf866ae95c24 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:08 p.m.